Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures.
Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful.

Sustainable Logistics and Transportation: Optimization Models and Algorithms (Springer Optimization and Its Applications) | Didem Cinar (Editor), Konstantinos Gakis (Editor), Panos M. Pardalos (Editor) | Springer

Table of Contents
Chapter 1: Toward Sustainable Logistics
Chapter 2: Transportation Network Regulation for Air Pollution Minimization
Chapter 3: Cumulative VRP: A Simplified Model of Green Vehicle Routing
Chapter 4: Constructive Algorithms for the Cumulative Vehicle Routing Problem with Limited Duration
Chapter 5: Column Generation for Optimal Shipment Delivery in a Logistic Distribution Network
Chapter 6: Sustainable Logistics Network Design Under Uncertainty
Chapter 7: Methodological Approaches to Reliable and Green Intermodal Transportation
Chapter 8: A Multiproduct Multi vehicle Inventory Routing Problem with Uncertainty
Chapter 9: The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation
Chapter 10: Allied Closed-Loop Supply Chain Network Optimization with Interactive Fuzzy Programming Approach